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Diabetes is a serious chronic disease that occurs because the pancreas does not produce enough insulin (a hormone that regulates blood sugar or glucose), or when the body cannot effectively use the insulin it produces. WHO data shows that the incidence of non-communicable diseases in 2004 reached 48 , 30% is slightly higher than the incidence rate of infectious diseases, namely 47.50% [1]. According to the Ministry of Health in 2012 diabetes caused 1.5 million deaths. Some Indonesian people, this disease is better known as diabetes or blood sugar. This research was developed through secondary data processing from the Pima Indians Diabetes Dataset health database which was taken from the Kaggle dataset and can be accessed through https://www.kaggle.com/uciml/pima-indians-diabetes-database. Where the data itself consists of 768 records with several medical predictor variables (Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, Age and Outcome). Then the data will be processed using the Particle Swarm Optimization (PSO) feature selection to increase the accuracy value and the Naive Bayes algorithm to determine the accuracy results of the diagnosis of diabetes. From the results of research that has been done for the accuracy of the classification algorithm Naive Bayes is 74.61%, while the accuracy of the classification algorithm with Particle Swarm Optimization is 77.34% with an accuracy difference of 2.73%. So it can be concluded that the application of the Particle Swarm Optimization technique is able to select attributes in the Naive Bayes Algorithm, and can produce a better level of diabetes diagnosis accuracy than using only the individual method, namely the Naive Bayes algorithm. Keywords: Diabetes, Particle Swarm Optimization, Naive Bayes Algorithm

Dunia bisnis khususnya dalam industri penjualan dimana-mana tidak di ambil kemungkinan banyak resiko yang di hadapi pembisnis untuk bisa melangsungkan usaha yang telah di dirikan akan selalu ada dan mendapatkan konsumen yang tetap membeli barang yang telah disediakan maka dari itu seorang entrepreneur dituntut untuk memiliki strategi dalam membaca peluang. Untuk menyiasati hal tersebut, tentunya pihak manajemen harus mampu menganalisa data yang ada untuk dijadikan bahan acuan untuk strategi diperlukan untuk komputerisasi. Pencarian judul penelitian dan abstraknya dipermudah dengan kata-kata kunci tersebut. berbisnis selanjutnya. Meubel Master borneo merupakan salah satu perusahaan yang memiliki resiko mendapatkan konsumen yang tetap dan harus memberikan atau meyediakan barang yang memiiki kualitas tinggi dan memberikan pelayanan yang akan diberikan kepada pelanggan yang setia membeli produk yang telah disediakan. Dengan menggunakan data mining yang merupakan knowledge discovery dikarenakan bidang yang berupaya untuk menemukan informasi yang memiliki arti yang berguna dari jumlah data yang besar, untuk menemukan pola (pattern) data dan memprediksi kelakuan (trend) dimasa mendatang [7]. Untuk mengetahui produk yang sering terjual dalam periode bulan Januari sampai bulan Mei 2019 diperlukan algoritma apriori yang ada di data mining. Dengan melakukan analisa keranjang belanja menggunakan metode asosiasi dengan Algoritma Apriori, dimana kombinasi itemset transaksi penjualan barang pada meubel master borneo menghasilkan 6 rules dimana minimum confidence sebesar 41,6 % dan minimum support sebesar 0,08% berdasarkan 35 transaksi penjualan dari 63 jenis barang pada meubel Master Borneo.

Oil palm is Indonesia's leading and prime plantation commodity. Plants whose main products consist of palm oil (CPO) and palm kernel oil (KPO) have high economic value and are one of the largest foreign exchange earners compared to other plantation commodities (Fauzi, 2012) PT. Safety Pin River Purun is a company that manages palm kernel products with the products produced there are 2 types, namely CPKO (Cruide Palm Kernel Oil) and PKM (Palm Kernel Meal). From the results of the study it was found that the prototype design was made capable of producing palm kernel assessment calculations using AHP in the assessment process, while the prototype model used was to use the prototyping model method. With this research can be beneficial for the management of PT. The Sungai Purun pin in the process of evaluating palm kernel is more effective and accurate in producing reports

Irrigation is a land irrigation system by damming water sources. Irrigation as the provision, regulation and disposal of water to support agricultural needs. Irrigation is generally used by farmers, especially farmers in rice fields to irrigate and provide water supply to agricultural land, monitoring water stock in rice fields must be done frequently because rice water needs must be balanced with a lack of water supply or excess water supply in rice fields is not good for rice growth . So far, farmers have monitored irrigation channels manually, the location of the rice fields from the farmer's house often causes rice plants to experience scarcity because the floodgates are not opened when the water supply is running low or experiencing water supply. excess because the floodgates are opened for too long, this will greatly disturb the growth of rice plants. Making a monitoring and control system for irrigation channels using a water level sensor installed on the ESP 8266 microcontroller (Wemos D1), the system uses a programming language c. This tool can be used to open the irrigation door if the water supply in the rice fields is below the minimum limit and will close the water gate when the water supply has reached the maximum limit, the servo motor is used to open and close the floodgates. . . The monitoring results obtained will be displayed to users in real time through the android application interface and will be stored in the form of a text file on the storage media.

The development of technology allows one to obtain other people's spatial position data. One mobile technology that utilizes spatial data as a supported factor is location-based services. The large number of employees at the PT.XYZ causes the presence of a controlled process to be under control, and even tends to be questioned. Because it takes a GPS-based presence system on android that is expected to be a solution of the problems that occur at this time. The system development method used is a six-step R&D method, consisting of: Research and information gathering, Planning, Development of initial product forms, initial field testing, major product revisions, main field testing. The final result is the prototype of the Ganesha Employee Presence System Operations. The test results on the system shows the employee attendance system can run on the android platform. The system only responds to presence based on the position of the employee's coordinates with office coordinates. Besides checking the presence process is also based on devices that have been approved in the system. 

This research was conducted at Patra Semarang Hotel & Convention which aims to analyze and explain the influence of leadership style and organizational culture on employee performance, and to find out which variables are most influential on tourist satisfaction.This research uses quantitative methods with 55 respondents. The validity and reliability test techniques, multiple regression analysis, hypothesis testing through the f test, t test, coefficient of determination and beta coefficient.The results showed that the level of testing was significant and positively influenced by the regression equation, Y = -0.005 X1 + 0.971 X2 and it was proven that the organizational culture variable had the most dominant influence on employee performance with a regression coefficient of 0.971. The conclusion from this study that of the two independent variables, organizational culture is a variable that has a positive effect on employee performance at Patra Semarang Hotel & Convention.

With the increasing development of technology the more variety of books circulating on the internet. As is the recommendation system on online book sites that provide books relevantly and as needed with one's preferences. One alternative is GoodReads, a social networking site that specializes in cataloging books and users can share reading book recommendations with each other by rating, reviewing, and commenting. As a large book recommendation site, it has a lot of data that can be processed by applying machine learning methods, but still not known as the most accurate model. By using the right model, we can provide more accurate recommendations. Therefore, this study will analyze the data obtained from the www.kaggle.com namely the goodreads-books dataset. This study proposed a data mining classification model to get the best model in recommending books on GoodReads. The algorithms used are Decision Tree, K-Nearest Neighbor, Naïve Bayes, Random Forest, and Support Vector Classifier, then for model evaluation using accuracy, precision, recall, f1-score, confusion matrix, AUC, and Mean Error Absolute. The test results of several classification algorithms found that Decision Tree has the highest accuracy among the methods presented by 99.95%, precision by 100%, recall by 96%, f1-score of 98% with MAE of 0.05 and AUC of 99.96%. This is proof that decision tree algorithms can be used as book recommendations based on book categories on GoodReads.

In the era of information and technological developments that are very rapid as it is today, in the context of managing human resources in a company or what is known as a personnel management information system. The problems faced by PT. Nerangi Sarana Karya, namely until now, the staffing data management is still using a manual system that is not well computerized, does not have a database as a data storage medium, data sharing is not via the network and still uses hardcopy printouts. Seeing the problems that occur in the personnel administration subdivision of PT. Nerangi Sarana Karya, the author intends to develop a web-based personnel information system (SIMPEG) to hide staffing master data, employee data, promotions, and periodic salary increase data. using PHP and MySQL. The system development method that I use is AHP. In the end, this system can provide output to its users in the form of a promotion decree, a regular salary increase decree and employee reports.

This study aims to examine the effect of learning accounting character, interest, and learning motivation on learning achievement of accounting students at the University of Victory Sorong. The research was carried out on all students of the Accounting Study Program of the Faculty of Economics and Business, University of Victory Sorong. The data collection method used in this study is a survey method through distributing questionnaires. The sampling technique used was saturated sampling method. Students as the unit of analysis participated as many as 83 students. Data analysis used multiple linear regression with the help of the application of Statistical Package for The Social Science version 22. The results showed that the character of accounting learning, interest, and learning motivation had a positive and significant effect on learning achievement of accounting students.

Entrepreneurial intention in a person can be formed by the external and internal environment. This study examines the attributes entrepreneurial intentionin students : role models, entrepreneurial attitude, subjective norms, and emotional competence. The purpose of this study is to determine a model of entrepreneurial intention among exact and non-exact college students. in Brebes and Tegal, Central Java. Respondents observed were exact and non-exact students at three tertiary institutions, namely Muhadi Setiabudi University (UMUS) Brebes, Polteknik Harapan Bersama (Poltek Harber) Tegal, and Pancasakti University (UPS) Tegal with a total of 301 students using a cluster random sampling. This research uses a quantitative analysis approach with data analysis techniques Structural Equation Model (SEM), a method to test the attributes that make up the entrepreneurial intention model. The results showed that the exact entrepreneurial intention of the student group was formed by the attributes of entrepreneurial attitude, and emotional competence. Meanwhile, the non-exact student group was formed by the attributes of role models and entrepreneurial attitudes. The implication of this research is that universities can form entrepreneurial characters among students through a conducive and dynamic curriculum and academic atmosphere.

Penelitian ini bertujuan untuk melihat dan menganalisis strategi bisnis di Era Normal Normal yang diterapkan oleh Beby's Coffee. Penelitian ini dilakukan dengan menggunakan metode analisis SWOT (Strengths, Weaknees, Opportunity, dan Threat). Jenis penelitian ini dilakukan dengan menggunakan penelitian kualitatif dengan menggunakan pendekatan deskriptif dan teknik purposive sampling pada pemilik usaha, karyawan, pengunjung Beby's Coffee. Hasilnya kemudian dianalisis dengan menggunakan metode SWOT. Hasil analisis yang telah dilakukan oleh Beby's Coffee menunjukkan bahwa strategi bisnis di Era New Normal ini dapat berjalan dengan lancar dan seimbang di tengah banyaknya pesaing. Dengan adanya kompetitor tersebut, menjadi tantangan tersendiri bagi para pemilik usaha untuk menciptakan inovasi guna mengembangkan usahanya. Di tengah Era Normal Normal ini, Beby's Coffee terus melakukan inovasi terbaru dengan membuat produk “Kopi Seliter” untuk meningkatkan daya tarik konsumen.

This research is to know the Influence of Communication, Motivation, And Work Ability To Performance Of Subdistrict Officer Of Universitas STEKOM Semarang. Research data was obtained through questionnaire. The sample used in this research is 82 respondents. The data obtained were processed by using descriptive  analysis  and  quantitative  statistical  analysis.  Quantitative  analysis using multiple regression analysis to determine the effect of independent variables to  dependent  variables,  but  before  the  test  is  done  first  test  the  validity and reliability test.The result of regression analysis shows that Communication, Motivation, and Work Ability to Performance.

The mindset as a Job Seeker and not as a Job Creature after completing college is a problem that must be solved by all parties, both the government, educational institutions, the business world, and the community. One of them is planning a business as an individual business career choice in the future after graduating from college. This study aims to map the intentions of students majoring in Islamic Economics at STAI Denpasar in entrepreneurship so that its development can be accepted in society. The population in this study were STAI Denpasar students. The research was conducted using qualitative techniques, with the purposive sampling method as a sampling method. The results of the research are STAI Denpasar students have negative intentions in starting a business. Negative means that there are still many students who think that it is very difficult to open their own business. To become successful entrepreneurs, intentions must also be supported by concrete actions, the real actions they take are sure to start a business, learn from entrepreneurs who have been successful and dare to start a business with existing limitations.

Digital Business is experiencing rapid growth, including in the online-based food business. The Internet is creating a new face in interactive communication between sellers, consumers and business partners. This allows the company to be able to interact and work together continuously to be able to develop products, marketing, delivery and maximum service to get customer satisfaction. One type of business that is currently growing rapidly and is very popular with customers is food delivery services including go food, grab food and shopee food. This delivery service will increasingly compete according to the response from customers, influenced by the quality of service. The purpose of this study was to find out how service quality affects customer satisfaction, especially in online- based food delivery applications. The research used in this research is quantitative analysis method. The method used is to collect information obtained from questionnaires. Variable indicators were tested for validity and reliability. In testing this validity using the Pearson Correlation approach. The reliability test in this study used Cronbach, Alpha coefficient. The results of the study explain that the service variable partially has a positive effect on customer satisfaction. The influence of service quality provided by service providers and service partners is very well responded by application users.

This research aims to find out and analyze the factors that are predicted to determine the firm value, the factors are liquidity, debt policy, asset turnover, and profitability. The sample used in the mining sector listed on BEI for the period 2014-2018, the sampling technique using purposive sampling, obtained 118 samples. Data analysis uses multiple regressions using the SPSS program version 23. Hypothesis test results found debt policy and asset turnover positively affected firm value, while it did not prove liquidity and profitability affect firm value.

Information technology concerning the use of computers in a government service is needed to facilitate a job in an agency. One of them is in the Community Empowerment and Village Government Agency, Central Aceh Regency, where data management for poor households is still using the manual method, the data that is processed can be lost, damaged or infected by a virus, besides that the data is also not managed properly. good and when data is needed, the data will be difficult to find due to the large number of files piling up. With a decision support system using the web, it is hoped that it can help ease the burden on employees who manage recipients of aid for poor families which will be implemented at the BPMPK Office, Central Aceh Regency.

Management of school funds in the form of SPP (Educational Development Donations) at the Kranggan foundation sourced from kindergarten, elementary and junior high schools so far is still managed manually, making it difficult and takes a long time for the Administration to check lists for students who have made payments. Every month. In this study, an SPP payment system was made using an SMS Gateway with the web scraping method. In the development process using the prototype method. The researcher aims to develop a web-based information system that is expected to help manage school payment data for the better. The information system will be equipped with an SMS feature that will be sent to the parents of the students concerned so they can know that the school payment has been made. This SMS feature is also useful for sending reports of late payments or SPP arrears to parents of students whose children are late in paying tuition fees. With this program, students can also make tuition payments in two ways. The first is manually or submitting payment to the TU at the school. The second is by means of money transfer payments through banks.

Department of Culture , Tourism , Youth and Sports Central Aceh district especially in tourism is in charge of managing and developing infrastructure for tourism, the selection of a tourist attraction right capable of giving the best decision with the information on the sights with AHP ( Analytical Hierarchy Prsocess ) that match the criteria , Election Decision Support System using AHP Attractions Java based , Using Netbeans and MySQL as data storage .

Abstract In this study that was used as the object of research in classifying red wine based on the quality influenced by each red wine or red wine based on the content of each type of wine, from each attribute containing the composition in the wine seen which attributes most affect the quality of red wine, so that it will be known ingridents that can improve the quality of the wine, in this study was carried out by the application of Machine learning by comparing three algorithms of mining data that is , Decission Tree, Random Forest and Support Vector Machine (SVM), from the results of research that has been done by comparing the three algorithms, Random Forest produced the best accuracy among other algorithms that have been tested. Random Forest with accuracy results of 0.7468 makes this algorithm best used to classify the quality of red wine. And in the second order Decission Tree with accuracy results of 0.7031, while Support Vector Machine (SVM) get an accuracy result of 0.65. So in the research that has been done to classify the quality of red wine based on its composition Random Forest becomes the best algorithm to use..

Pebryani Lestari, 2020. Analysis of Determinants of Interest in Revisiting the Taman Limo Jatiwangi Tourism Destination in Bekasi. Essay. Faculty of Economics and Business, Singaperbangsa Karawang University. This research was conducted using descriptive methods, namely collecting, presenting, analyzing and testing factor analysis, as well as making and suggesting. Samples were collected using random sampling technique with a sample size of 385 respondents and processed using SPSS 20. The results of this study indicate that there are 5 new factors that are formed from 21 indicators which are the influence of the determinants of interest in returning to the tourist destination of Taman Limo Jatiwangi Bekasi, these five factors are named Factor 1 which is named the Visitor Perspective Factor consisting of the Self indicator Fullfilment, Financial Security, Leisure Time, Relaxation, Amenities and Variety. Factor 2 is named the Expectation and Desire Factor consisting of indicators of Prestige, Romance, Wish Fullfilment and Local Activities. Factor 3 is named as the Destination Factor consisting of indicators of Fun Vacation Trip, Escape, Play, Strengthening Family Bonds, Educational Opportunity and Knowledge Driven. Factor 4 is named Implication Factor consisting of indicators of Business Travel and Government Business Travel. Factor 5 is given the name Factor consisting of indicators for Visiting Friends / Relatives and Sightseeing. Keywords:  Determinants, Revisit Intention